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Subject: Science and Technology

  • [11th December 2025] The Hindu OpED: ​​AI must pay: On the DPIIT working paper on AI and Copyright Issues

    PYQ Relevance

    [UPSC 2024] What is the present world scenario of intellectual property rights with respect to life materials? Although India is second in the world to file patents, still only a few have been commercialised. Explain the reasons behind this less commercialization.

    Linkage: This topic is relevant because it highlights India’s weak IPR monetisation systems and the need for clear licensing frameworks for AI training. It directly links to the issue of poor commercialization of intellectual property due to inadequate revenue and protection mechanisms.

    Mentor’s Comment

    The rapid expansion of AI models such as LLMs has outpaced global regulatory thinking, especially concerning copyright. India’s new working paper on “AI and Copyright Issues” marks a significant policy moment because it attempts to balance innovation with fair remuneration for content creators.  

    Introduction 

    Large Language Models (LLMs) rely heavily on public text, data, and multimedia scraped from the Internet. This has created tension between AI developers and content producers whose material forms the backbone of AI training datasets. India’s Department for Promotion of Industry and Internal Trade (DPIIT) has released a working paper proposing a mandatory licensing framework to ensure remuneration for content creators while keeping AI innovation unhindered. The proposal aims to prevent prolonged litigation, offer a collaborative revenue system, and address the growing disruption in the media landscape.

    Why in the news?

    India’s working paper is significant because it represents the first structured attempt to create a national solution to the global controversy around AI training data and copyright. For years, AI hyperscalers have argued for unrestricted scraping of Internet content, while publishers insisted on licensing and consent. With lawsuits piling up worldwide and no uniform judicial clarity, India’s move is a major shift from unregulated data scraping to a mandatory revenue-sharing model. It highlights the scale of the problem, hundreds of media houses and small publishers risk losing fair compensation as LLMs synthesize new outputs from their work without attribution. The proposal marks a pivot toward balancing AI development with creators’ rights, avoiding a situation that could disadvantage India’s AI ecosystem through excessive restrictions or unchecked exploitation.

    What Drives the Rapid Progress of LLMs?

    1. Iterative advancements in machine learning: Continuous improvements in applied techniques enhance the performance and reasoning ability of LLMs.
    2. Expanding access to global text and multimedia data: Massive publicly available datasets fuel training, improving output depth and sophistication.
    3. Dependence on Internet-scale content: AI firms rely heavily on materials produced by media houses, publishers, and content creators.

    What Is the Core Conflict Between AI Firms and Content Producers?

    1. Free-use argument by AI developers: They claim public Internet content should be freely usable for training, even when outputs are monetized.
    2. Licensing demand from content producers: Reproduction or syndication by AI, directly or indirectly, should require consent and licence fees.
    3. Fierce industry debate: News, entertainment, and book publishing sectors fear uncompensated use of their intellectual property.

    What Does India’s Working Paper Propose?

    1. Mandatory licensing framework: Allows unlimited scraping of public information, but mandates structured payments to a central body.
    2. Non-profit copyright society: Collects royalties from AI developers based on revenues earned through AI models trained on Indian content.
    3. Collaborative revenue-sharing: Ensures creators benefit from the value AI systems extract from their work.

    Why Is the Licensing Model Considered Practical?

    1. Avoids the burden of opting out: Individual content producers lack the power to prevent scraping or enforce restrictions.
    2. Recognizes data processing as a functional reality: AI models synthesize new outputs rather than reproduce original text verbatim.
    3. Addresses inequity concerns: Small publishers may still feel disadvantaged, but a flawed system is preferable to absence of remuneration.

    What Are the Challenges in Implementing the System?

    1. Royalty determination issues: Difficulties in deciding proportional payments, especially between small and large publishers.
    2. Ongoing global litigations: Lawsuits against AI companies continue, and no uniform judicial framework exists yet.
    3. Needless delay is a threat: Waiting for courts to settle the issue only benefits AI firms and worsens market disruption.
    4. Tech industry dissent: Some developers resist additional regulatory burdens but the committee views collaboration as essential.

    Conclusion

    India’s working paper marks an important shift toward a balanced AI-copyright ecosystem. While the proposed licensing structure is imperfect, it offers a practical, collaborative alternative to years of litigation and unregulated data extraction. If supported by the government and refined through stakeholder dialogue, it can ensure that India’s creators, publishers, and AI innovators coexist in a fair and sustainable digital environment.

  • Aditya-L1 Reveals Why the 2024 Solar Storm Behaved Unusually

    Why in the news?

    • In May 2024, Earth experienced the strongest solar storm in over two decades, popularly known as Gannon’s Storm.
    • A collaborative study using Aditya-L1 and six NASA satellites has explained the unusual behaviour and enhanced intensity of this storm.

    What Are CMEs?

    • Coronal Mass Ejections (CMEs): Massive bubbles of charged gas and magnetic energy expelled from the Sun.
    • When directed towards Earth, CMEs can:
      • Disturb the magnetosphere
      • Disrupt satellites, communication networks, GPS
      • Trigger geomagnetic storms affecting power grids

    Key Findings of the Study

    1. Collision of Two CMEs

    • Instead of a single CME rope, two CMEs collided in space.
    • This collision compressed and distorted their magnetic structures.

    2. Magnetic Reconnection Inside the CME

    • Magnetic fields inside one CME snapped and rejoined, creating new magnetic pathways. This internal breakup is called magnetic reconnection.
    • Consequences:
      • Sudden reversal and strengthening of magnetic fields
      • Enhanced geomagnetic impact on Earth
      • Acceleration of charged particles detected by satellites

    3. First Multi-Vantage Observation

    • Observations came from Aditya-L1 and six US satellites:
      • NASA Wind
      • ACE
      • THEMIS-C
      • STEREO-A
      • MMS
      • DSCOVR (NASA-NOAA)
    • Enabled simultaneous study of the storm from Earth, Moon, and L1 point.

    4. Discovery of a Giant Reconnection Region

    • Aditya-L1’s precise magnetic field measurements showed:
      • Reconnection region ≈ 1.3 million km across
      • Nearly 100 times Earth’s diameter
    • First recorded instance of such a giant internal magnetic breakup within a CME.
    If a major solar storm (solar flare) reaches the Earth, which of the following are the possible effects on the Earth ? (2022)

    1. GPS and navigation systems could fail. 

    2. Tsunamis could occur at equatorial regions. 

    3. Power grids could be damaged. 

    4. Intense auroras could occur over much of the Earth. 

    5. Forest fires could take place over much of the planet. 

    6. Orbits of the satellites could be disturbed. 

    7. Shortwave radio communication of the aircraft flying over polar regions could be interrupted. 

    Select the correct answer using the code given below: 

    (a) 1, 2, 4 and 5 only (b) 2, 3, 5, 6 and 7 only (c) 1, 3, 4, 6 and 7 only (d) 1, 2, 3, 4, 5, 6 & 7

  • To fulfil STEM potential, India must cast a net wider, go to the roots

    Introduction

    India’s STEM ecosystem faces deep-rooted structural constraints even as the government seeks to reform doctoral guidelines and redirect research toward emerging national needs. The debate highlights persistent gaps in funding, fellowships, university governance, research priorities, and industry linkages. 

    Why in the news?

    The issue is significant because the government has asked ministries and departments to re-examine PhD guidelines and shift focus to topics of national relevance. This action comes at a time when existing systemic problems, like delayed fellowship payments, inadequate stipends, poor institutional support, and the absence of industry linkages, have reached a critical point. Several premier institutions have not paid PhD stipends for months, and research fellowships remain stagnant at ₹8,000 per month since 2012 for many categories, sharply contrasting with inflation and rising living costs. 

    Understanding the Roots of India’s STEM Challenges

    What structural issues limit India’s STEM potential?

    1. Weak Research Relevance: Research funded by government departments often lacks direct relevance to national technological needs, reducing innovation output and long-term applicability.
    2. Low Public Visibility: Communication gaps hinder public understanding of how government-funded research benefits society or advances national capability.
    3. Fragmented Institutional Support: Government departments and agencies lack coordinated mechanisms for selecting and nurturing PhD candidates working in critical areas like energy storage, sustainable agriculture, health tech, and battery technologies.

    Why is applied research struggling in India?

    1. Limited Industry Linkages: Applied science breakthroughs, though central to modern technological advances, receive inadequate industry support, reducing opportunities for scale-up.
    2. Insufficient Local Innovation Ecosystems: Historical examples like the laser or optical fibre show how long-lag research becomes transformative. India still lacks comparable mechanisms to nurture such deep-tech research.
    3. Weak Commercialisation Pathways: The absence of industry-academia collaboration limits the transition from early-stage research to viable technologies.

    How do fellowship and salary problems deepen the crisis?

    1. Delayed Payments: University-funded PhDs and major fellowships like non-NET scholarships frequently experience months-long delays, affecting basic sustenance and productivity.
    2. Inadequate Fellowship Amounts: The ₹8,000 monthly scholarship, unchanged since 2012, remains insufficient even for minimal living costs.
    3. Forced Supplementary Work: Students must take up temporary teaching assignments, reducing time available for research.
    4. Failed Direct Transfer Models: Attempts to transfer fellowship payments directly from banks collapsed due to payment delays and administrative complexities.

    Why is India’s research ecosystem unable to retain talent?

    1. Limited Faculty Positions: Funded PhDs are scarce; many bright students cannot find positions due to narrow intake. 
    2. Opaque Recruitment Processes: Ad-hoc contractual appointments reduce academic stability and deter long-term research commitment.
    3. Weak University Ecosystem: Few Indian universities maintain predictability and transparency in administrative and financial processes.

    What non-STEM burdens weaken STEM research?

    1. Non-scientific Teaching Loads: PhD programmes require students to teach subjects like psychology, sociology, history, diverting time and focus from scientific inquiry.
    2. Administrative Distractions: Non-STEM tasks increase the administrative burden on researchers, affecting scientific productivity.
    3. Cultural undervaluation of STEM: Specific social sciences are privileged in university structures, leading to skewed resource allocation.

    Conclusion

    India’s STEM potential depends on addressing foundational issues, predictable funding, research relevance, ecosystem stability, transparent administration, and meaningful industry linkages. Without systemic reform, higher fellowships alone cannot solve deeper governance failures. Strengthening these roots will determine whether India can build a globally competitive research ecosystem capable of supporting national development.

    UPSC Relevance

    [UPSC 2024] What is the present world scenario of intellectual property rights with respect to life materials? Although India is second in the world to file patents, still only a few have been commercialised. Explain the reasons behind this less commercialization.

    Linkage: This theme links directly to GS-3: Science & Technology, IPR, innovation ecosystem, highlighting gaps between patent filings and commercialization. It is relevant for analysing India’s weak research-to-market pipeline, low industry linkages, funding delays, and systemic failure.

  • How can India benefit from neurotechnology

    Introduction

    Neurotechnology integrates neuroscience, AI, engineering, and computing to decode and influence neural activity. At the core of this revolution lies the Brain-Computer Interface (BCI), a system that converts thoughts into actions using implanted or non-invasive devices. As global investment accelerates, India stands at a crucial juncture: it must leverage its scientific strengths while addressing regulatory and ethical gaps to become a competitive player in this emerging domain.

    Why in the news

    Neurotechnology has moved into a phase of rapid global advancement, with major breakthroughs such as in-human trials of Neuralink’s BCI receiving regulatory approval in 2024. Nations like the U.S., China, and Chile are accelerating R&D through large-scale missions. 

    Understanding Neurotechnology and BCIs

    1. Mechanical-neural integration: Neurotechnology uses devices that read, monitor, or influence brain activity, enabling control of cursors, robotic arms, wheelchairs, or prosthetics in real time.
    2. BCI systems: BCIs convert neural signals into digital commands, using implanted electrodes for precision or non-invasive systems such as EEG headsets.
    3. Therapeutic potential: Devices help diagnose brain disorders, stimulate brain regions for depression or Parkinson’s, or allow communication for patients with paralysis.
    4. Human-human interfaces: Research has even enabled brain-to-brain communication, transmitting simple information between individuals.

    India’s Need for Neurotechnology

    1. High neurological disease burden: India faces major disorders such as stroke, Parkinson’s disease, spinal cord injuries, and depression.
    2. Growing share of NCDs: Between 1990-2019, the share of non-communicable and injury-related neurological disorders rose steadily.
    3. Stroke as largest contributor: Stroke has become the top neurological contributor to India’s disease load.
    4. Rehabilitation benefits: BCIs offer possibilities for motor restoration, communication, and reducing long-term medication dependency.
    5. Mental health potential: With rising mental health challenges, neuromodulation and cognitive stimulation could offer new tools for treatment.

    India’s Current Standing

    1. Academic leadership: Institutes such as IIT Delhi, IISc, and AIIMS are active in BCI research, advancing sensor tech, signal processing, and neural implants.
    2. Neurorights and ethics research: Centres like IIT’s neurotechnology groups study data privacy, cognitive security, and the ethics of manipulating neural signals.
    3. Interdisciplinary progress: Neuroscience, AI, biomedical engineering, and biotech sectors are expanding, positioning India to scale domestic innovation.

    Global Progress and Lessons for India

    1. U.S. BRAIN Initiative: A major collaboration between federal agencies and private partners to accelerate innovative neurotechnologies.
    2. Neuralink trials: In 2024, Neuralink demonstrated that implanted BCIs restored motor functions in paralytic patients.
    3. China Brain Project (2016-2030): Focuses on cognition, brain-inspired AI, and neurological disorders.
    4. Chile & EU leadership: Pioneering frameworks for neuro-rights, ensuring cognitive liberty and mental privacy.
    5. Wide applications: Uses range from healthcare, gaming, rehabilitation, and security, making this not just a medical frontier but an economic one.

    Challenges for India

    1. Regulatory vacuum: Lack of clear national guidelines for invasive vs non-invasive BCIs, safety standards, and neural data protection.
    2. Ethical and privacy concerns: BCIs generate the most sensitive form of data-thought-level signals.
    3. Adoption and funding gaps: Without adequate funding and industry incentives, large-scale deployment will remain slow.
    4. Need for a national mission: A coordinated strategy is required to tap into India’s biotech capacity.

    Conclusion

    Neurotechnology represents a strategic frontier combining biotech, AI, and healthcare. For India, the potential spans medical rehabilitation, national innovation capacity, and future economic growth. However, its successful adoption requires a strong regulatory framework, ethical safeguards, and a dedicated national strategy that aligns technological advancement with patient safety and cognitive rights.

    PYQ Relevance

    [UPSC 2020] What do you understand by nanotechnology and how is it helping in health sector? 

    Linkage: This PYQ falls under GS-3 Science & Technology, where UPSC tests new and frontier technologies shaping future healthcare. Nanotechnology is directly linked to neurotechnology and BCIs, forming the base for next-generation medical diagnostics, making it highly relevant for UPSC.

  • Technology Development Fund (TDF) Scheme

    Why in the news?

    DRDO has handed over seven indigenous defence technologies developed under the Technology Development Fund (TDF) scheme to the three Armed Services.

    Technologies Transferred

    1. High-Voltage Power Supply for Airborne Self-Protection Jammers
       Enhances protection of aircraft from radar guided threats
    2. Tide-Efficient Gangway for Naval Jetties
       Assists safe crew movement in high tidal variation zones
    3. Advanced VLF-HF Switching Matrix System
       Efficient communication routing in naval platforms
    4. VLF Loop Aerials for Underwater Platforms
       Underwater long-range communication support
    5. Indigenous Waterjet Propulsion System for Fast Interceptor Craft
       Marine propulsion technology aiding coastal security
    6. Process for Recovery of Lithium Precursors from Used Lithium-ion Batteries
       Supports strategic material recycling and energy security
    7. Long-Life Seawater Battery System
       Provides sustained power for underwater surveillance

    About the TDF Scheme

    • Implemented by DRDO
    • Objective:
      • Support MSMEs and startups in defence innovation
      • Promote import substitution of critical technologies
    • Funding support up to 90 percent of development cost
    • Aligned with Aatmanirbhar Bharat and defence indigenisation push
    Consider the following statements: (2023)

    1. Ballistic missiles are jet-propelled at sub-sonic speeds throughout their flights, while cruise missiles are rocket-powered only in the initial phase of flight. 

    2. Agni-V is a medium-range supersonic cruise missile, while BrahMos is a solid-fuelled intercontinental ballistic missile. 

    Which of the statements given above is/are correct? 

    (a) 1 only (b) 2 only (c) Both 1 and 2 (d) Neither 1 nor 2

  • Tensor Processing Unit (TPU) 

    Why in the news?

    Meta is in advanced talks with Google to use its Tensor Processing Units for large scale AI workloads, indicating a major shift in the AI chip ecosystem. This led to a drop in Nvidia’s stock due to concerns over market share loss.

    What is a TPU

    • A specialized hardware chip designed to accelerate artificial intelligence and machine learning processing
     • Developed by Google in 2016
     • Optimized for tensor computations used in deep learning
     • Widely deployed in data centers and cloud platforms

    Why TPUs are Important

    • Deep learning models require high-speed matrix and tensor calculations
     • CPUs are optimized for general-purpose tasks
     • GPUs are effective for parallel graphics and AI workloads
     • TPUs surpass them in efficiency for specific deep learning operations

    How TPUs Work

    • Built to handle large scale tensor and matrix computations
     • Use massive parallelism to execute numerous operations simultaneously
     • Consume less energy while delivering high throughput
     • Include specialized circuits to avoid unnecessary general-purpose processing overhead

    What are GPU and TPU? 

    ​​GPU: general-purpose parallel compute processor (Used by Navidia)

    TPU: AI-specific chip optimised for deep learning tensor operations
    With the present state of development, Artificial Intelligence can effectively do which of the following? (2020)

    (1) Bring down electricity consumption in industrial units

    (2) Create meaningful short stories and songs (3) Disease diagnosis

    (4) Text-to-Speech Conversion

    (5) Wireless transmission of electrical energy

    Select the correct answer using the code given below:

    (a) 1, 2, 3 and 5 only (b) 1, 3 and 4 only (c) 2, 4 and 5 only (d) 1, 2, 3, 4 and 5

  • INS Aridhaman

    Why in the News

    The Indian Navy has indicated that INS Aridhaman, India’s third nuclear powered ballistic missile submarine (SSBN), will be inducted soon.

    About INS Aridhaman

    • Second submarine of the Arihant class SSBNs
      • Developed under the Advanced Technology Vessel (ATV) project
       • Built at Ship Building Centre, Visakhapatnam
       • Strengthens India’s nuclear triad with credible sea based deterrence.

    Strategic Significance 

    • Enhances deterrence posture under No First Use policy
       • Consolidates India’s position as a blue water navy
       • Increases maritime security presence in the Indian Ocean Region

    Note: A blue water navy is a maritime force that can operate far beyond its own coastal waters and project power across the deep oceans of the world.

    Consider the following statements: (2023)

    1. Ballistic missiles are jet-propelled at sub-sonic speeds throughout their flights, while cruise missiles are rocket-powered only in the initial phase of flight. 

    2. Agni-V is a medium-range supersonic cruise missile, while BrahMos is a solid-fuelled intercontinental ballistic missile. 

    Which of the statements given above is/are correct? 

    (a) 1 only (b) 2 only (c) Both 1 and 2 (d) Neither 1 nor 2

  • WHO Issues Global Guidelines on GLP-1 Drugs for Obesity 

    Why in the News?

    The World Health Organization (WHO) has released its first global guidelines (Dec 1, 2025) supporting the use of GLP-1 (Glucagon-Like Peptide-1) drugs as long-term treatment for obesity in adults, alongside diet and exercise.
     These guidelines emphasise equitable access, affordability, and caution about long-term safety.

    What are GLP-1 Drugs?

    • GLP-1 = Glucagon-Like Peptide-1 receptor agonists
    • Originally developed for type 2 diabetes
    • Now widely used for medically supervised weight loss
    • Examples: Semaglutide, Tirzepatide, Liraglutide
    • Mechanism:
      • Reduce appetite
      • Slow gastric emptying
      • Improve insulin sensitivity

    Key WHO Recommendations

    Conditional approval for adults

    • GLP-1 drugs may be used for long-term obesity management
    • Excluded: pregnant women
    • Reason for “conditional” status:
      • Limited long-term efficacy & safety data
      • Uncertainty about outcomes after discontinuation
      • High cost and global inequity in access

    Must be combined with lifestyle interventions

    • Balanced diet + regular physical activity remain essential
    • Drugs cannot replace behavioural changes

     Equity and affordability

    • WHO urges:
      • Generics development
      • Insurance coverage
      • Lower pricing
    • Obesity’s global economic cost projected to reach $3 trillion by 2030
    A company marketing food product advertises that its items do not contain trans-fats. What does this campaign signify to the customers? (2011)

    1. The food products are not made out of hydrogenated oils. 

    2. The food products are not made out of animal fats/oils. 

    3. The oils used are not likely to damage the cardiovascular health of the consumers. 

    (a) 1 only (c) 1 and 3 only (b) 2 and 3 only (d) 1, 2 and 3

  • Understanding concerns around Sanchar Saathi

    Introduction

    The Department of Telecommunications (DoT) has instructed smartphone manufacturers and importers to pre-install the Sanchar Saathi application on all new mobile devices. The app is designed to combat digital fraud, trace stolen devices, and prevent misuse of SIMs. But its mandatory installation has raised widespread concerns about privacy, surveillance, user consent, and constitutional rights. The government later clarified that the app is “optional,” but the directive mandating its pre-installation has created ambiguity.

    Why in the news

    Sanchar Saathi’s mandatory pre-installation order marks a major shift because devices in India have never required a state-controlled app by default. This reversal from voluntary to mandatory installation has generated concerns about surveillance risks, access to sensitive data, and violation of user consent. The scale is significant as India is the world’s second-largest smartphone market; even small changes affect millions. Legal experts view it as a possible infringement of the fundamental right to privacy.

    What the Government’s App Actually Does

    1. Blocking & Tracking: Allows blocking or locating lost/stolen phones anywhere in India using IMEI-based tracing.
    2. User Option to Block IMEI: Enables users to prevent stolen devices from being activated.
    3. Support to Law Enforcement: Assists police in identifying counterfeit devices and preventing black-market circulation.
    4. Fraud Prevention: Helps report fraudulent calls, messages, and online scams via unified channels.

    Why Has Sanchar Saathi Triggered Concerns?

    1. Ambiguity Around Consent
      1. Unclear Mandate: Pre-installation directive contradicts the Minister’s statement that the app is optional.
      2. User Autonomy: Mandatory installation affects user ability to choose, delete, or disable the app freely.
    2. Expanded State Power
      1. Exceptional Move: First time the government mandated a wide-scale state app on all devices.
      2. Precedent Risks: May normalise future mandates for state surveillance tools.
    3. Privacy Risks
      1. Data Access: App uses Android’s Mobile Security Framework enabling access to call logs, camera, SMS, and unique device identifiers.
      2. Opaque Permissions: Apple devices require permissions for photos, files, and camera.
      3. Potential Misuse: Centralised data collection may heighten misuse & monitoring risks.

    What Data Does Sanchar Saathi Collect?

    1. IMEI Data: Unique identifier used to block stolen devices.
    2. Call Logs & SMS Data: Access allowed when reporting fraud or using suspicious call detection features.
    3. Camera Access: Needed for uploading barcodes of mobile equipment (IMEI verification).
    4. Personal Information: Includes phone numbers, Aadhaar-linked data, and registration details.
    5. Problem: The app’s privacy policy bans sharing identifiable information except when required by law, but the phrase “required by law” remains broad and open-ended.

    Constitutional & Legal Concerns

    1. Lack of Consent: Forced Pre-installation undermines voluntary, informed consent, a core component upheld under the Puttaswamy judgment (2017).
    2. Three-fold Privacy Test: Experts argue mandatory pre-installation fails:
      1. Legality: No explicit statutory backing for a nationwide mandate.
      2. Necessity: No demonstrated need requiring compulsory installation.
      3. Proportionality: Data access far exceeds the minimum required for fraud detection.
    3. Surveillance & “Function Creep”
      1. Risk of Expansion: Potential to expand into unrelated data surveillance functions.
      2. No Independent Oversight: Absence of clear audit mechanisms, grievance redressal, or limits on retention periods.

    Way Forward 

    1. Clarity of the mandate: Issue a clear written policy stating the app’s status to remove confusion.
    2. Addressing Privacy Risks: Limit data permissions to essential functions and publish regular audit reports.
    3. Ensuring Consent & User Autonomy: Provide a visible and fully functional uninstall or disable option.
    4. Preventing Surveillance Overreach: Create independent oversight to monitor misuse and restrict function creep.
    5. Building Trust Through Transparency: Disclose data flows, retention rules, and access logs in the public domain.

    Conclusion

    Sanchar Saathi addresses real concerns of digital fraud and misuse of mobile devices. However, its mandatory pre-installation, broad data permissions, unclear safeguards, and inconsistent communication have created concerns about state overreach and privacy violations. The app’s utility must be balanced with constitutional guarantees, transparent policy design, and robust data protection mechanisms.

    PYQ Relevance

    [UPSC 2024] Right to privacy is intrinsic to life and personal liberty and is inherently protected under Article 21 of the constitution. Explain. In this reference, discuss the law relating to D.N.A. testing of a child in the womb to establish its paternity.

    Linkage: This PYQ links directly to debates on privacy, consent, and proportionality governing state access to sensitive personal data. It shows how intrusion into bodily or digital autonomy must meet strict constitutional tests.

  • [2nd December 2025] The Hindu OpED: The new action plan on AMR needs a shot in the arm

    PYQ Relevance

    [UPSC 2014] Can overuse and free availability of antibiotics without Doctor’s prescription, be contributors to the emergence of drug-resistant diseases in India? What are the available mechanisms for monitoring and control? Critically discuss the various issues involved.

    Linkage: This PYQ directly mirrors the article’s focus on antibiotic misuse, OTC access, and weak regulatory control driving AMR. It lets you use NAP-AMR 2.0 to show gaps in surveillance, stewardship, and One Health governance, exactly what the exam tests.

    Mentor’s Comment

    AMR is now a major threat to India’s health, food systems, and environment. Resistance has moved beyond hospitals into water, soil, and livestock. NAP-AMR 2.0 is timely and shows a stronger, more accountable approach. This analysis helps you clearly understand what worked, what failed, and what must change.It also builds GS2 and GS3 depth through governance, science, environment, and One Health linkages.

    Introduction

    India has released its National Action Plan on Antimicrobial Resistance (NAP-AMR 2.0) for 2025-29, signalling a renewed commitment to containing AMR, a challenge that affects human health, livestock, agriculture, the environment, and food systems. Unlike the first plan (2017), which saw uneven adoption across States, the second plan attempts structural reform through higher accountability, stronger surveillance, private-sector engagement, multi-departmental integration and One Health alignment.

    Why in the news?

    The launch of NAP-AMR 2.0 marks a significant turning point because AMR has now expanded beyond hospitals into soil, water, livestock, markets and food systems, making it a full-spectrum health and environmental challenge. 

    How did the first NAP-AMR evolve and where did it fall short?

    1. Significant early progress: Brought AMR into national consciousness, encouraged multi-sectoral participation, improved laboratory networks, and strengthened stewardship.
    2. One Health recognition: Placed AMR within the interface of human health, animals and environment.
    3. State-level stagnation: Most States undertook only individual activities; only a few (Kerala, MP, Delhi, AP, Gujarat, Sikkim, Punjab) created formal AMR action plans.
    4. Weak institutional execution: Multisectoral One Health structures were missing in most States.
    5. Uneven governance: Human health, veterinary systems, pharmaceuticals and waste management lie under different jurisdictions, causing weak coordination.
    6. Monitoring deficiencies: Surveillance, regulatory oversight, environmental contamination monitoring and antibiotic stewardship remained fragmented.

    What makes NAP-AMR 2.0 more mature and implementation-focused?

    1. Shift to national priorities: Moves beyond intent; outlines clear responsibilities across levels of governance.
    2. Private sector engagement: Recognises that a major share of India’s health care and veterinary services is provided privately.
    3. Scientific strategy: Emphasises innovation, rapid diagnostics, alternatives to antibiotics, and improved environmental monitoring.
    4. One Health deepening: Stronger coordination across food safety, waste management, agriculture, environment and human/animal health.

    What new governance mechanisms does the NAP-AMR 2.0 introduce?

    1. Higher accountability: Greater role for national supervision through a dedicated Coordination and Monitoring Committee.
    2. State-level innovation: Recommends every State establish a One Health inter-ministerial AMR committee, along with State AMR cells.
    3. Integrated reporting framework: Aligns State reporting with national structures for uniform monitoring.
    4. Technical backbone: Calls for a national follow-up mechanism and a multi-departmental coordinating structure.

    Where do administrative and operational gaps persist?

    1. Funding limitations: NITI Aayog’s earlier financial grant-based system did not generate adequate incentives.
    2. Weak incentive design: No system for rewarding State performance or penalising poor progress.
    3. Fragmented responsibility: Human health, veterinary systems, agriculture, pharmaceuticals and waste sectors work under separate ministries and State departments.
    4. Lack of real-time accountability: No statutory notification requiring States to inform the Centre of AMR progress.
    5. Dependence on central push: States often wait for Union-level initiatives rather than proactively building AMR infrastructure.

    What financial and institutional reforms does the article highlight as essential?

    1. Mandatory funding channels: Conditional grants through the National Health Mission (NHM) for surveillance and laboratory systems.
    2. Administrative energy: Once funding becomes compulsory, States respond faster.
    3. Scientific backbone: Need for a sustainable, long-term national centre for AMR control and accountability.
    4. International relevance: Without a Centre-backed national AMR programme, India cannot engage in meaningful global AMR governance.

    Conclusion

    The NAP-AMR 2.0 offers an opportunity to anchor India’s AMR response on a stronger scientific and institutional foundation. But success will require coordinated State participation, financial backing, and accountable governance, not just policy intention. A central AMR Centre, integrated surveillance, and enforceable incentives could finally convert national plans into ground-level action across health systems, veterinary services, agriculture, food safety and environmental management.